Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach.
Sangwoong YoonYoung-Uk JinYung-Kyun NohFrank C. ParkPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- intrusion detection
- intrusion detection system
- detecting anomalies
- network traffic
- one class support vector machines
- anomalous behavior
- network intrusion detection
- detecting anomalous
- computer security
- data assimilation
- unsupervised learning
- network intrusion
- behavior analysis
- model selection
- probabilistic model
- negative selection algorithm
- unsupervised anomaly detection
- network security
- malware detection
- machine learning
- hidden markov models
- data analysis
- pattern recognition
- feature selection